CLEANSING AND REFINEMENT OF SUB-AQUATIC AND SOFT  LIGHT IMAGES USING RETINEX COLOR RECOVERY

CLEANSING AND REFINEMENT OF SUB-AQUATIC AND SOFT LIGHT IMAGES USING RETINEX COLOR RECOVERY
Author(s):
HIMANSHU TRIPATHI, Pawan Pandey
Keywords:
Retinex, Multi-Scale Retinex with Color Restoration (MSRCR), Variance, Underwater, best fit variance, peak signal-to-noise ratio (PSNR) .
Abstract
The images from the ocean are unclear in unsettling and can cause issues while studying it. The basic underwater image causes such a problem because the light reflects back from the surface of the ocean or gets absorbed. In this paper, we make an attempt to clear hazy underwater images using the Multi-Scale Retinex with Color Restoration (MSRCR) algorithm, compare the output with different variances, and see how to get better results. We also discuss the best fit variance, and to achieve it, we have used the peak signal-to-noise ratio (PSNR).
Article Details
Unique Paper ID: 155137 Publication Volume & Issue: Volume 8, Issue 12 Page(s): 1611 - 1614
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org